Search Machine Learning Repository:
All publications by Xiaojin Zhu
authors venues years



Human Memory Search as Initial-Visit Emitting Random Walk
Kwang-sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang and Ming Yuan
Advances in Neural Information Processing Systems 28, 2015


Optimal Teaching for Limited-Capacity Human Learners
Kaustubh R. Patil, Xiaojin Zhu, \l U. Kope\'c and Bradley C. Love
Advances in Neural Information Processing Systems 27, 2014


Machine Teaching for Bayesian Learners in the Exponential Family
Xiaojin Zhu
Advances in Neural Information Processing Systems 26, 2013


How Do Humans Teach: On Curriculum Learning and Teaching Dimension
Faisal Khan, Bilge Mutlu and Xiaojin Zhu
Advances in Neural Information Processing Systems 24, 2011


Learning Higher-Order Graph Structure with Features by Structure Penalty
Shilin Ding, Grace Wahba and Xiaojin Zhu
Advances in Neural Information Processing Systems 24, 2011


Cognitive Models of Test-Item Effects in Human Category Learning
Xiaojin Zhu, Bryan R. Gibson, Kwang-sung Jun, Timothy T. Rogers, Joseph Harrison and Chuck Kalish
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Humans Learn Using Manifolds, Reluctantly
Tim Rogers, Chuck Kalish, Joseph Harrison, Xiaojin Zhu and Bryan R. Gibson
Advances in Neural Information Processing Systems 23, 2010


Transduction with Matrix Completion: Three Birds with One Stone
Andrew Goldberg, Ben Recht, Junming Xu, Robert Nowak and Xiaojin Zhu
Advances in Neural Information Processing Systems 23, 2010


Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
David Andrzejewski, Xiaojin Zhu and Mark Craven
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Human Rademacher Complexity
Xiaojin Zhu, Bryan R. Gibson and Timothy T. Rogers
Advances in Neural Information Processing Systems 22, 2009


Multi-Manifold Semi-Supervised Learning
Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu and Robert Nowak
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Unlabeled data: Now it helps, now it doesn't
Aarti Singh, Robert Nowak and Xiaojin Zhu
Advances in Neural Information Processing Systems 21, 2008


Human Active Learning
Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Tim Rogers and Xiaojin Zhu
Advances in Neural Information Processing Systems 21, 2008


Dissimilarity in Graph-Based Semi-Supervised Classification
Andrew B. Goldberg, Xiaojin Zhu and Stephen J. Wright
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Xiaojin Zhu and John D. Lafferty
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Kernel conditional random fields: representation and clique selection
John D. Lafferty, Xiaojin Zhu and Yan Liu
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
Xiaojin Zhu, Jaz Kandola, Zoubin Ghahramani and John D. Lafferty
Advances in Neural Information Processing Systems 17, 2004


Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
Xiaojin Zhu, Zoubin Ghahramani and John D. Lafferty
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003